Paper No. 1-4
Presentation Time: 9:00 AM
DEMONSTRATION OF ATTRIBUTING AND ANALYZING 3D OUTCROP MODELS IN TEACHING AND RESEARCH USING ESRI AND NON-ESRI MODULES
The ability to interact with a 3D photorealistic model of an outcrop provides multiple opportunities for discussion and analysis of the geology is demonstrated. With recent advances in geospatial data collection and analysis with the integration of technologies ( Terrestrial LiDAR combined with RTK GPS, high-resolution digital photography and GIS software for three dimensional modeling) the results are 3D photorealistic models. An effective concept enables the user to analyze the outcrop via smart tablets and graphical user interfaces on computers in the field, lab and/or class. This analysis can be saved and be made available for re-examination by other users and also integrated into an already developed photorealistic model allowing for viewing of the analysis in 3D. The model is permanently archived. This application has numerous benefits for geoscience education, training and research, in addition to providing an alternative method to explore micro or macro-scale regional geologic attributes. Students can examine multiple locations and compare correlated rock strata to understand relative dating techniques, define reservoir characteristics and map the outcrops' structural geology. The system is an intuitive Graphic User Interface running as an Add-In in ESRI’s GIS Arc Scene software on 3D photorealistic models although minimal ESRI knowledge is required. With the captured outcrop model, users can zoom into an area of interest and view the geology in customize 3D model files by adding user additional information and look up to the tutorial through the program. The interface provides multiple interactive buttons for the user to use once an area is identified for digitization. Users are allowed to plot (digitize) new points/layer boundaries as well as affix labels with the related geological information containing the position information and scan information. This is complemented by merging that activity with using a very simple tablet based attribution and tracing of geologic information method on images of the models which can then be transferred to the 3D photorealistic model for review and integration. This will be demonstrated to be effectively used on multiple models in Oklahoma, in the DFW area and in Paleozoic rocks in Ohio used by universities and community colleges.